{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 自动售货机画像"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 给出每台售货机所有商品的商品标签（包括非饮料和饮料），保存于csv文件中，文件名分别为task3-1A.csv……（任务3.1修改版）\n",
    "2. 标签扩展（任务3.2）\n",
    "3. 生成画像（任务3.2）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0. 加载模块"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import re\n",
    "import PIL.Image as Image\n",
    "from wordcloud import WordCloud"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 添加商品标签"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "最大值： 4964\n",
      "最小值： 1\n"
     ]
    }
   ],
   "source": [
    "#首先对数据进行分析\n",
    "f=open('../数据/初步处理数据.csv')\n",
    "data=pd.read_csv(f)\n",
    "sales_volume=data['商品'].value_counts() #销量数据，默认有排序\n",
    "print('最大值：',np.max(sales_volume))\n",
    "print('最小值：',np.min(sales_volume))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#对销量数据做分割，以便查看分布情况\n",
    "bins=np.linspace(0,5000,11)  #分割数据的依据\n",
    "data_cut = pd.cut(sales_volume.values,bins)  #分割数据\n",
    "number=pd.value_counts(data_cut,sort=False)  #统计每段的数据个数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e4f28b2978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制柱状图，更加直观\n",
    "names=['0-500','500-1000','1000-1500','1500-2000','2000-2500','2500-3000','3000-3500','3500-4000','4000-4500','4500-5000']\n",
    "x=range(10)\n",
    "plt.subplots(figsize = (8,4))\n",
    "plt.bar(x,number.values,width=0.6)\n",
    "plt.xticks(x, names,rotation=30)\n",
    "plt.savefig('../图片/画像/销量柱状图.png',dpi=500,bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由柱状图可以看出，绝大部分数据分布在0-500之间，取500为总销量的上限，即总销量大于500可认为是热销"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "总销量的下限取0-500内商品销量的中位数，即总销量小于该值可认为是滞销"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "lower_limit=np.percentile(sales_volume[sales_volume<=500],50)/5  #取中位数，并平均分配到5个地区\n",
    "upper_limit=500/5 #上限"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>商品</th>\n",
       "      <th>销量</th>\n",
       "      <th>标签</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100g*5瓶益力多</td>\n",
       "      <td>53</td>\n",
       "      <td>正常</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100g卫龙点心面黑椒牛排味</td>\n",
       "      <td>9</td>\n",
       "      <td>滞销</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100g果王咸柑桔罐装</td>\n",
       "      <td>14</td>\n",
       "      <td>正常</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>103g康师傅红烧牛肉面</td>\n",
       "      <td>17</td>\n",
       "      <td>正常</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>107g出前一丁桶面酱香牛肉王</td>\n",
       "      <td>12</td>\n",
       "      <td>正常</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                商品  销量  标签\n",
       "0       100g*5瓶益力多  53  正常\n",
       "1   100g卫龙点心面黑椒牛排味   9  滞销\n",
       "2      100g果王咸柑桔罐装  14  正常\n",
       "3     103g康师傅红烧牛肉面  17  正常\n",
       "4  107g出前一丁桶面酱香牛肉王  12  正常"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#函数，用于比较数值，判断标签\n",
    "def compare(num):\n",
    "    if num<lower_limit:\n",
    "        return '滞销'\n",
    "    elif num>upper_limit:\n",
    "        return '热销'\n",
    "    else:\n",
    "        return '正常'\n",
    "    \n",
    "place=['A','B','C','D','E']\n",
    "for pla in place:\n",
    "    f=open('../数据/分割数据/task1-1'+pla+'.csv')\n",
    "    place_data=pd.read_csv(f)\n",
    "    place_sales_volume=place_data.groupby(place_data['商品']).size() #商品销量数据\n",
    "    new_data=pd.DataFrame(np.array([place_sales_volume.index,place_sales_volume.values]).T,\n",
    "                   index=range(len(place_sales_volume)),columns=['商品','销量']) #生成DataFrame型数据\n",
    "    new_data['标签']=list(map(lambda x: compare(x), new_data['销量']))\n",
    "    new_data.to_csv('../数据/任务3-1/task3-1'+pla+'.csv', encoding='gbk',index=None)\n",
    "\n",
    "#以E地区的数据为例\n",
    "new_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 标签扩展"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#首先对附件2的“二级类”属性做出修改，对商品做出更准确的分类，如将“劲仔小鱼”的二级类由“肉干/豆制品/蛋”修改为“肉干”\n",
    "f=open('../数据/附件2 - 修改.csv')\n",
    "info_data=pd.read_csv(f)\n",
    "first_type=dict(map(lambda x,y:[x,y],list(info_data['商品']),list(info_data['标签1'])))  #生成字典\n",
    "\n",
    "#然后使用正则表达式去除商品列的字母、数字和其它字符等\n",
    "r1 = '[a-zA-Z0-9*_瓶（）/()+]'\n",
    "info_data['标签2']=list(map(lambda x: re.sub(r1, '', x),info_data['商品']))\n",
    "second_type=dict(map(lambda x,y:[x,y],list(info_data['商品']),list(info_data['标签2'])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>商品</th>\n",
       "      <th>销量</th>\n",
       "      <th>标签</th>\n",
       "      <th>标签1</th>\n",
       "      <th>标签2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100g*5瓶益力多</td>\n",
       "      <td>53</td>\n",
       "      <td>正常</td>\n",
       "      <td>乳制品</td>\n",
       "      <td>益力多</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100g卫龙点心面黑椒牛排味</td>\n",
       "      <td>9</td>\n",
       "      <td>滞销</td>\n",
       "      <td>豆制品</td>\n",
       "      <td>卫龙点心面黑椒牛排味</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100g果王咸柑桔罐装</td>\n",
       "      <td>14</td>\n",
       "      <td>正常</td>\n",
       "      <td>果干</td>\n",
       "      <td>果王咸柑桔罐装</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>103g康师傅红烧牛肉面</td>\n",
       "      <td>17</td>\n",
       "      <td>正常</td>\n",
       "      <td>方便速食</td>\n",
       "      <td>康师傅红烧牛肉面</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>107g出前一丁桶面酱香牛肉王</td>\n",
       "      <td>12</td>\n",
       "      <td>正常</td>\n",
       "      <td>方便速食</td>\n",
       "      <td>出前一丁桶面酱香牛肉王</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                商品  销量  标签   标签1          标签2\n",
       "0       100g*5瓶益力多  53  正常   乳制品          益力多\n",
       "1   100g卫龙点心面黑椒牛排味   9  滞销   豆制品   卫龙点心面黑椒牛排味\n",
       "2      100g果王咸柑桔罐装  14  正常    果干      果王咸柑桔罐装\n",
       "3     103g康师傅红烧牛肉面  17  正常  方便速食     康师傅红烧牛肉面\n",
       "4  107g出前一丁桶面酱香牛肉王  12  正常  方便速食  出前一丁桶面酱香牛肉王"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#将生成的标签添加到csv中\n",
    "for pla in place:\n",
    "    f=open('../数据/任务3-1/task3-1'+pla+'.csv')\n",
    "    place_data=pd.read_csv(f)\n",
    "    place_data['标签1']=place_data['商品'].map(first_type)\n",
    "    place_data['标签2']=place_data['商品'].map(second_type)\n",
    "    place_data.to_csv('../数据/任务3-2/task3-2'+pla+'.csv', encoding='gbk',index=None)\n",
    "\n",
    "#以E地区的数据为例\n",
    "place_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 生成画像"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e7445167b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e74238c710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e744946f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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l8Wx1FR+ZN5+YruONRAhpMdKtNgCuLV3EtaWL8MSCLGvanAgWR/d/8GmhpHN+suISAEJaBKvJwv1LPw/Ayo59XD1xwYDG4ZihcePae5mZPSHRt+IvtauYm1PG5SXzjvUrG8AfifL3zdu485ILMJmgIj+P4swM7GYL+hkcLORpyAj7x9s7mT2hiIun93cOeunV3dhs8Q9GerqdKy6dc0LnfPylbVx10RyUUsRiOppuoOl64vVv/76K73+xP/johsHUsgKClnhvyxkF/bcQn3/pOa6ZPpM3G+p46IMfTrrOgR4nk3JyaHK7ee3QQb538XsS+/Z0dVLf18t+ZzcAP7n0isS+/167msm5uXz8rIVU9zi5f/tWHv5Q8rkhXpO4eOVdbL72FwB4YyE+uOZ/qcgqptLdwo7rfzUgz68qX+AnC25KSrt53e957rJvJaV1hNyUph+/G3ZE68BhLT3uce/01O593HrOwhPON84Mr8FluM9eR+jrtLa3skXtP9Cu1m2sVR5PcFjnuuy23yuPL/7s/81NNUoppS762P8OeqwnHFadPl9S2u7ODvXM/kr1562b1aN7diXS/2/XjsTrDl+878Y9G9cl0ja3tiillHp8354hy3agx6k0Pd4fIqzFBj2mI9g3ZP7BBLXIgDRfLDTIkalxBlYpX2T/u85/ihvW53Ssg8RpFyx6/AG1cv9BVdPpPOG8P737+WPuf2jZxsTrhlaX2lkV/wD//A+vDnr88toataxyX1JaIHrsDltK9QeLo71+6KB6eOf2xHaX3594/b2VrymllNrV0a46fD719ddeVn/dtvm41xkLuvHuA81pQDpljSdrauvJSUvDZILFk+NPFLqdPnJz0+ns8jC5vCBxv/3iK7vIyHBgtZqx2yy8tHw399z9sRO+ZiSq8fDTb3PHJy9NSj/SeOkMBCjOHJmBXZsONrG+tpEf3HB5Is1QimaXm4OdPext6eQ71/eXo7azh32tnURjOrdddPaIlOF4WkNtlKdP4t7aP/Od2XfyUMOjfGHaZwDoCb5BmrUsMRlypWcLUzJmkWM7I/pOSKes8eSK2dMHpO2tbGFKeQExzUhqmPN4Q9z4gf4FkXfsPva4g3seWMWU0nxu++B57D/UyVkzJ/KFHz/OR69bPCBQAGxriy8hsHjiid+jD6apx83OpnaKszN5eO02br88PsCry+OnoiifiqJ8rlkwKylPp8fHR85bMCLXT9XTLS/yrdl3MDsrvkjTkUABkJe2FKs5/mSlPdSAT3Ozpvt5riy5mWzb2HZcG+8kWIywTfXNnDdlEoecLs4qLQFgyTlTqT3UxfSK5IFT5yzqbwQNhaLk5iR3dHqnH3zpGiAeNL71ufhjxqL8LK67bOCSAQAXlg8cbDUcumEwt7SYTo+PT13cH+Tue30D93z8+kHzOH0B3qg6xL7WTsrycvj4BYtGtEyDuarkMv7VtIywEebp1hfQDJ2oEWVpwWJmZhbij1aRZZ9PWfo0StMrMGEiqPtGvVynOgkWI8zpC3DI6cJh7f/RFuRncuHS6bz46i7KSvNZuqSCH9/1LL/8+c08+MhaysryueHaRQQCkUHP+fM/vMrFS6ZjNpsIhaNMn1zEMyt28+fH1nLOvHIeWraJaEwnEo0Rjen0eoLcdPUiOhzxx5HnlZUxJW94E7Zsq2/l31v2Mqe0iNK85PER2ekO6rpdtPZ6uXzutKR9aVYrV8+fydXzj7cU40CrX9yJI92OI81GX4+Pa24+j7Wv7KZiTinrlu/h0//5Pja8vo9LrlnAimVbmTa3lLnnTGFG1jQiRpTzC5YQNaI8WP8oX5v5hcR5j146YXvvavLtxWRb88iwyNR5xzTcRo8R+jrt1DldidcvvrpLPf38NqWUUtt2NCTSNU1XH771T0oppXTDSNp3LD/53UtKKaX8wYhau/WguuELfx30uEA0qgLRqNIOj7Acrp89u0q9uvuA2lLXPPBakaj62bOrBqS/sKPqXV8vGompSCiqIqGo6m7vU7GYplrr46Nl3a54A2swEFHODrcKBwc23Eb0iIrq73wqox/+itvv2aaCml/VeHe+63KeQob1OZWaxSgpyupvUDxvSQV+f4SmFhdWa38Pe4vFzHNPxid/MZtMnLek4rjn/fkfXuUX3/wAAC+v3setN5zLZUtncus3H+Gp+z6XdGyb14uhFFFdZ+GEoUfApsoTCuMJhWlw9nL+9PgtzjPb9tHs8pBus7J4aimb65q5cEb/7VVtZ8+7vp7N3v/fs7g0XjOaNC1eK8gtiP980zPspGcMPhmN3dyfXumpZkHuPAKxOiJaJwXp8TaeeTnxtVQ0NXg3cnGU4UabEfo6bWxrbFWPb92tNhxqTEpvbI7PU7FuY+2IXevFN5L7PHz6u/9M2m7o61WP79kzoK9Fqra6ViillPJEe1RUDytnuFVt6nlFKaVUZyj+/nb3rVF7+taqkBZQHaEGFTOiyht1qaDmU7v71qjmwAFlKEMd8u1WAc2r9nu2KHe0W9WO4F/y7j6famh3Hf9ApZSm+1Qo1jpi1z7FyKPT8ajO2Xt4QFncO8eGHPHwP9dx+39cxpr1B7ji0tSGYaeqsrsbs8lESWYmRRknPnekX3OTac3FdPiJW0DzYjPbsZvTMJSOyRSvJfVFuyiwx5cW8MSc5Nrif/0jRhAw4TCn0xNpJ9uWT0QPkmMrJGKEcJiP3aCbqlc2VlGYk8lFCysA+O2B3/PDud8a9Nje0DrSrJPIsM3AFe1kj3sj5enTybDmUJ5+YuNyTkHy6HQ8Ks9PbgTsdQdxpNkGzN+YlmbHUGrEAwWAM+DHFQwxaZCh6qnIsiY3imZa+9/T0St7HQkUQCJQADiOWnqxyFF2OC096ftIuHLJLCKx/tuIiswp3F/3MA6zI5GmKY1FufO5sPA9hLUOAArtE8m3FTMxbeqZ0s9iWCRYjJKjn4YARCIx0tJsSWlKxZ+UHOl7sbeylQVnTcJsHpk5E66cNrDPx3DEXB/FVvjMIHsOz/qggmCKBwgjvBJz2vsGHBl1Xom9+K34+fq+iC3/wcGv1XcHtvy/Hj69H0xZQ5arvt2FpusUHJ55e172HM7OS+7b8WL7ci4sXEqL50GyHYtIs04CYH7uBdiPCipiaDKfxUly1tyyASMlTSaYMT3eF+Phf65n0YJyzGYTTYHN+GKdGEofcJ69NW18+adPnpQyJ6goSqvFnPYBNM9Pibk+TrTnQ4ndeuDh+IujAoURXokRevEdJ9IwmeIdn/TQC6jYfmJ9X0cPPjXgkrb8v2KE3zh83qxE/sEsnFHK4tnlie0jgUKh6Iu6Abix7P0ATM79IjmOcwDwax4O+ffSG+1O7edwhpNgcRL0uPwD0ly9fvz+CLNnTqCp2UVWpoOGxvjaG2mWXHqjjYMu4rtoziSyM9P4wBfvH/J6t/7n/41c4VFgsqN57wblw5p7N7bCf2MvOmrSHVMWRnQnEA8CmBxYMj+POe3apDPpwedQqo+Y66NY0m/C7LgSW/6fMNuTVyjTPD9BGb0orRo98A9iro+iee9Gc/9o0BK+sa2Wgy3OAelvu7bRFGyh2lubSGty/xlPOD5RT5Y1F1/MTUDzosvTkOMbbgvpCH2d1la8UZl4HY1pgx4TDPaPrtzX94La6XpCBWKDz6Z9zWf/NGj6v17cqj5650MqHImpf1buVP5oRO1zdqq3muvVlo4Wtb8neebqmt5UB7vpytA6leYb/Lqa/x/JR4fXKEPrUJrvz0np0d4vqKjzw0opQ8Xc/6WMaLWKuX/4zrMpZQSUMuKjczXf/UoZfqUHXxqydJFBfqYhLTzk8ZoenwH8yIzhB31Dj6Q9zQzrcyo1i5MgP7e/oa+yqi1pXzgSny4u/aiGz7L0RczPuzGpZrGvpj3x+sjyeX97cgMud4A7fv5vDjU5+eSHlvL0n27HYbdyUdkUTCYTaVYrveEgwViM7mD/rFphTcNqSu3Xr4eex2SZAAy8LQJQevJ7MqK70NzfQKkomvfXiXRb/oMYeiNR59UYsd0Y2n6UVveOs1nitzOmdJR2EEvWV1AqjDn9g0OW78mVO6lu7EpKS7MM3g4RiNZgOdzwajaZ2e/dxtSMORzw7hjy/CJOHp2eZO9cAuBfT73Np25Nroa3B/cQMfwYSmNG9uXsqGymodXFU6/u4GPXLSamGXzqxvggrt3VrTzyzGZaO/t49i9fHKVSK2K9n8VkW4A1+3vo/vuxZH01sTfW91Vs+fcDBkff2RrR7aAimB2XoGIH0EPPoKK7sBU9i9IaMVkriPV+ClvBv455dc33P1izvzfkfsNQGEphtRw/+MWMeBuGzZyHO9ZDb6QLTUXRlZ7ooHUak8lvxrtVq4fu8ryvsmVAmjfaqVoC29Uh75pB8zz2wlb1wS8NXEDnlm88rA42dg9IN5RS+7o6lVJKbWpuSqT7IxH17P4qFYrFVLs3PofFjvY2tfGoY5ThV1rwWaWUUjHPrxLJR9KUUirm/a3SfH9WeijeicuIJXdIO1rEeVPSdtT1yUGP0wJPHN5/e/yc0RPrNv6zyl+pRxufUm/3bFNNgf6fcafvOdUb3KCUUsoXc6t97rdVjXenag8NXebTyLA+p2MdJM6IYLF738CxFEeEI4PPKKUbg6dv3FGXeH3/E+vV7v3JweZgY7d64KkNSWkNfb1qxcFapRmGernmgGr3ehMzWr1RV6e84bDa392tqrq71RN796hwLH5tPfiCUupwe4DuTmpf0MPr31EyTWm++1TM/YNEiqEPbBOJdF+TeB3t/YqKuj4/2LuP/xta3n+s63ODHDe0lmBb4nW9vz8QuIJrVU/wrRM612lEgsV49/aWQ0oppV59fa/yBwZOE/dOB72rVWtgl+oJ1w3Y9+yKXaqlo0997gePDdj32e/3p7V3e4ZR4qEM3jg7OkbuWhF98J95QPOq3X3r1Ztdz4zYtca5YX1Opc3iJFGKIVcpe+e+Ot86sqxFmEwWStLm8J3fPMe+mnae/P3niEQ1LFYzEwoHH059yzceZtkfb+fhpzdx+8cuHoV3cupwRlxoKoZm6BQ5Cki3DOw1WuPbhcVkIcOSQ1l6xckv5Mk1rDYLCRYnwdHBoNvpo6Q4+YPu9YXJye5fo6MtuAtfrJN0awFTMy9IpD/89Nu0d7tZNGcSN169iItvuRezyYTDbsVut5LmsKGUQtcNXn7gKymVLRDZQii6i6Ls4x/f4PwE04qfSGyHopWk21ObBcsTfIncjA8d/8BBtLjuZHLhnxjs/3pM78BmefczgTUEqokZEWZnn/Ouz3EKkbEh492efc14fWEMQw26DMDRgQJAU1FybGVMTJ+flH77x+JPTWKazvtv/yubln1n2GVLs81G07uOfyCQl5G8duihrutYODk+dV+D81amFQ/siXlEs+trLHyXwSIn/TqO/D+P6e34QqspyPoUAGqYnammZZ7YmiJnMulncRIUFmZRkJ/JhJIcQqHooMd4fWGqqtsIBCMoZaBQtAYHf/Zvs1pY/vAdfOZ7jw67bOFYLWkp1A66PL8jP/OjtPf9dMC+pp4v4rAOPROWUlEKMm9NSovEDh33mk7vXw7n759BrL77I+SkX0eHO772iNmUNiBfre/45xYnToLFSTB5UgELzprEvDmlGEbyHdffH14DxGsX8+dNwu+P4Im10RM5iF8b2IX5aI/+z2d45NnNJ1QWf3gjVa2zOHLnF47tx2E99oAzTXeSlRZfcKgs/26qWuMjZM2mDLo8v2Nq0YOU5f9yyPwHu66jrOC3+MNrqWyNT7vX1vf9pGOCkW0D8hXnfI1m1x0YxINFW+/3mFP6NlZLETG9HaWimEy2Afmea3v5mO9HvDvSZjFGnn95J5ddMpvCgvggKUMpolGNNEf/f/6I4cdhHnq0ZaoiWh2d7t+QYV9MfubHsVr6lx9sdn2FKYV/A0A3+nD6/s7E3B8m9ruDz9Pi+joA+Zm3kJ/5UdLtSwCN6rZzmF/e/1e83f0zyvJ+kXRtpWI0u75KYdbnyEq7mEBkM5mOizjQcSFWcwGh6F4y7OeCycSMkhcGlP1A+7kU59xJYdbn8Ic3JILWEYbhw2xObgN6quVZ+qLuIYaoLz3Bn94W3BPKAAAZqUlEQVRpRTplnareXLNf6bqh3nirSmmarh55LN4/Iqyf2MxWew6kNvOTYYSVOxAfY+EOvKyc3gfV3uZJx83X4f7N0WdRzT13KKXU4bz983sOdq5O9z2q1/+kUkqpvsBzSimlmnvuPHwm7XD60IsrabpHNTo/rxqcn1F7myerfS0VqtP9WxWIbD/8ngbOvdl6uI/FH2r/pu4/9LBSSilPdODCSWcg6WdxKjKM+OS9//dovHPTzt3xXpO9vf0rfXWFqpPyvLI6eXWxI+764+Arkr2TpnuUJ/haUlpd183HzXeo6yZ1sPN61d53t+r1P6XcgZeVUvHVvTzB5codeEV5gstVTE+e2i6qdSil4sHAE1yZSO/1L1NK9Qch3Rh8SceG7k8pf3iz2ts8SUW1zqR9/YFp6MmIDWWo3siJLZd4mhvW51TaLMaIYRhs2FRLV7eX1WurWXz2FBqbehJT7/VEDlKSljx71m8fWDXouV5fX5143eH04h9iSQGlIphMyX0NinO+lng9VKOjxZzDzAnLKc37L/IzP47JFH+IVtU6k5z068nNuAGldKzm5NmmQtFdANgsJeSkx9c86fT8mvzM+KprRVm3A2A2DT5rVkXxY2Q6LiDTcQFmUxr7WsqJaA0ALCiPfzcMP12ee9nXMmVA/sGGqIthGG60GaEvcZRArEdtdT6iGnwbk9IHq0Hc9NUHVGVtu1JKqU0769V//2n5gGOOiMQaVCC8VR3svE75wxsH7G9xfXPQfA3OzyRtH6mdHPnrXttx5TFvJbzBgUsExHSXau752pB5jojfdtyT2D7QfpHa1zJddXnuVYYx9DB0MSipWZxumgPbKHBMpzzzXADqW3o41ORkVkVJ0nH3PvwmD/7qNr7xi6eB+JD1n905+Mpg7uBz1HRchmb0MHPCa2Q6LqbD/fOkYzzBoZ8i9Pofp777FpSKJdLMpkyaXV9m1sTV5GXcNGReg4GPi+u7bmRy4Z/pCywbMl+z66ssKK/HUP3555RuYkF5HSU538ZkkunwTiYJFuOQpsK0h3ZjOvzrMQzFwUYnqzYc4Du/eQ5/MH6b8ambzqcoP4vQ4Tkx/vn/Pj3o+ara5pGddg0LJzeTk94fTIKRXUnHHevDV5D1SaaXLHvHo0oTUwr/ftz3c6SfhC+89vC2RmH25wFw+f8xaB5P8BUm5f8GMHF0PwsxdqQH5zi0IC/5r/TMqcXMnFrM0kVTyEizU9fcQ25OOvXNPbR3eZg7fQIHG/vnkTSZTMyc2j/L9vxJ1bxTfffNzJjwEk09tzO16GE03Zl4hPpOR9cm4udPP/w9tb81nuByujz/w5zSTWi6E29oJYVZ8QWRZk5Yzr6WKSyc3JyUJzfjA4nXhgogxp7ULMahHa7HafS/jT+WPJFsYV4Wm3c38uWfPklJQRb5uRnMnTGBicU5lE/MT3xNLM7h5394dcjzH+y8luklzwEwtehh9rctoNn1FbLSBq7EDuAPrwPiNYPW3m+SYT8bALMpm77AM3hDK/CGVtDU83l6fA8NyD8x9wfMKd0EgMv/GAVZn0zaX5LzTRp7Pos39Nqg1/cEh34v4iQabqPHCH2Jo3SHalRn8NiTvdx8xwOJ148+v0UpFV8vVSml7vj5U0Pmq+++bdD0mo7Lh8xz9ONWp/eBIY87FkPFVEP3p95VXm/ozXeVTwwwrM+p9OAch/qizQS0HkyYmJSxmH8+v4WHlm1iSll8Gv3GVhfrn/w219/+V15/5Gus23aIpYumcvMdD/Law3ec8PUO1XbS3tbHZVfOo7PDzcTSPDatr2XJ0mlsWl/LWQsm4XEHmT2nlN5eP91dXhwOK02NPVzx3vhgt6GG3x+tp8NNUWlqq7lrmk7QGyanoH8Vt67WXiaUy2JAwyBD1E83jf5NlGWcg918/CUHv/zTJ/nhl97HtMmFAFz16T+y+rFvUL+/jVgkxrSzJtHe4CQjK41d62u49raLWPfyTuafP4OtqyqZdtYkiqcU4vWEmDqtGLPZhBbTaW7qYfrMCax5cz8XXjKLXpefjAw7ba19pKfbiEQ0nN1eLr1iHq0tLiZPKUwqV8Ab4vn/W8u0uWVcct0iohGNgC+EyWQirzCLxgMdVMyNDy1XhmL72gOYzCaaD3Zy8xeuoH5/G+2NPWRkp1E2tYjqXU3k5Gdw7mVz8bmD1Fe3M/+8aVhtA5dLEEOSYHG6aQpswWqyk2efTKa16LjHv/8Lf2X5Q/EahWEoXl1TydKZZUw86gOsawYWq5nutj5sdiv5xdlEQlEc6YOvQD4SDu5rYdbC+GrruzbUUrOnmVu/djUAK5/eSp/Ty8fviG93trjobuvD1eXlyhuX8PbKfbh7/Fz/iYuIhmPs2lBLKBihrd7JJ795Letf3Y3FauHiaxeOWvlPQ8MKFtLAOQ6ZMKMw6AxVHfO4NzriTzleffCOxFIBZrOJcCSWFCgALNb4r7pkUj75hyffGc1AseWNKiKhGFveiL8HXTc4/8r43BHevgDv+9j5fPj2K3jzue3omoGhK3ILslhy6WwAtJjO5JkT2L6mGrPFzNIr5zFr4WTmLpkKwKU3nDPgPYrRJTWLcSyku0m3JN/jb+lpwHb4keWSwqmJ9D5PMGl9kqP5tSBhPUqtr4mzcqbzZvdWPlL+3tEruBivpGZxunpnoAC4oGgaAS2aFCiAIQMFQJY1gyJHHovyZqFQfLDsshEt54vtL7LXsxdDGcc99tfVvz7uMWJ8kmAxDjX6N9Hg3zjk/ksnzALAGfad0HmzrBnk23OwmwdOGDMcYT3MotxFBPQAq7oGDnbrjvT3FylNf/fzZYqxJcFiHKrIuphpWZcMOlNWnc/JZmc9TzVupdAx/IlxRsrTrU+Tbc3mmgnx0aVrnGsS+0ocJSgUNb4anBEn+zz7xqiUYjgkWIxjWdbiAWkzsos56Otibk4pQX3w+TxPtt5ob2Ka/TXONWzo2cAVxVck9t938D4A5mTP4ftzvs+0zPjUespwEfP/CQAt+BRK+dCjmzG0GgztIFroJUDDiFUDCi0YnxA45v9rPE/oBZThOTlvUkgD56moLxrEYjKRYxt8HoiT7YnmJ/jwpA/jMDswm8ysda7l8uLLE/sViqZAExWZFQBs7d3K+QXnx/fpbZgsk1CGK36wKQ2TKd4RK5GGgclcjDL6MJnzMbRGzNYKDL0JEzZMlrKT9VZPddLAeaYJaBFybOm83LqHmup2Vr66Z0zL89HyjxIzYqzoXAHA5cWXc2/tvQA82fwkSikqMit4o+sNAPZ69ibymiyT4t/NhfEvU3+PzUSaufjwdrwHq9laEf9umSqB4iSSmsUpJmpo2M1WPNEQufZ03lpVydSKYhrru7lqDDso+TU/Wdah21B2uXexOG8xAD7NR7Z18BXVxKiSHpxnmu6wjyyrg5AepcCeldK4DCGQ25AzT0laNhlWO4WOLDra+1DG2MXaxoZjr21yhFLQ0uxKbIfDyXNk9DgHPgaORgeuNtbW1neCJRQjRYLFKaYr5OWgt4uD3viSgw6HlY3ranj1hZ2jfu3amg62bq5j/doDeDxB1q2pZtOGWgxD8eaqSjasO8CKw+0nbW197NjekMhrMsW7fAPs2tnI/sr4soebNtby/DPbqDq87fOG2L61HoCWJhebNvZPtrv2rWrWrt4/6u9TDE5myjrFTEjPIahHqXa347DYyLOlM6WiiCkVxx9wNlxTphbR62okNzeD3NwMLrhwJunpzZjNJq5673xeeXkX5YeHkHd3eig+PAZly+ZDoCAnJ/70JhSKMrUi3miZlZXG+TfOYPeupsT2kVXbPJ4gc+b0d+Kav6CcjIzRG88ijk3aLMSwVO5tYcGiyYntpsYepg4RuFat2MdlV8zFkWZD1w0sFjNOp5fi4hwi4RiOtOSepVpMx2qzsG9vCwsPX6P2QAez50ov0HdJGjjPNPfXrOGT0y9I9LPQNINd2xtYeuGMMS6ZGOekgfNMc+OUc9jv7khsV+5uZt6CSSN2/n/+auCao13NPQB4XX4Ault7E/t+8am/JF7f95//TMoXPjwTee2uRl5+6C32bawZsXKKk0uCxSkoomtcUDwNfywMwDnnVZCVlTbs8y677zX+/fvl/MdPbuKtZ7Yk7Xvqd8t546lNtDd0E/CGyC3s71Pxs399jfUv7mDfxhrq9jbz68/3Lw/QdfgJSG5hFtd9+lJ87uDg7ykU77r+r9++NOz3IUaH3Iac4vy+MLpu0NLYw4JzBi7hlwqlFKbDnTWqt9XRVN2Os60Xm8PKrd++gba6LrLzM6nafIi6vc1Uvl3Lb1/8LgDNtR0888cVfPHuW8jOz+RvP3qKmWdP4epbL06cPxKK4upws+X1PWTmZLDkyrMoKsunvb6bf/zyedxOLxdefw6Hdjfx/Qe+MPwfihiK3IacybZuOkjDoe6U+zsMxnRUr66ORiftDd3U7mzk1m/fAMCkGRPIKciiYt4kps0vZ/rC/qA0ZXYp5161gMb9rYT8YdoOdTHxqDVLnrz3VRzpdsqml6AMxZv/fpuiwxMPl00v4bt//Ry/fu7b3HzHNaSPQO1IjB55dHqKs9mtVFe1ctt/vCcpvd3npdrVw3srptMbClGQHm8MXV5XizcSIRiLYjGb+Y+F8S7YylCYzCYWXTKHqz52Ibo2cCKb0mnFlE4rZmJF8mjYy29eyrZV+0jPSqNi/iQWXDQr8SRDO6pjlcls4p6XvpuUd+1z27jmE5cA8PXffYq6fS3MWDgZMf5IzeIUd+mV8wYEiieq9lKWnUMwFmV3Vwe7u/sbQzv9PuYXlwAmJmT2tzv0Ob0ArHhsPX/9/hP89Jb7hrymFtVor49PaFNf2YLfHWTpNfFxKUd6k7Ye6gTg0z+6EYDl/1hH0BdOOs+aZ7dyzScu4dk/r0yk5RXLmJHxStosTnGrV1bi84bIzk5LGkj28J4dRDSNkKbhsFi587wLcAYDPHOgis8sPIeH9+wky2bj82efm3S+aDiKPe3dd3yKRTSaazsGrR28+MCb3PglmftzDEk/izNZ5e5mnE4vVouFS6+aN2C/Zhjs6e7k3In9Q7nXNjdyVlExrxyq4XOLlox6GVe2V/O+sv6yNfl7aQ32MT2rCHc0xLy8iex0tbCkcDJV7g7m55UmvosRJQ2cZ7IF50zh4kvncMkVcwfdbzWbObtkYmL7Lzu2cPmUCoozMglrAwdqjbTeSJAsq4O2oDvRN0RXBjazJZ7m6aAr5KPm8FiX2sPfV3dIf4zxRmoWYtS1Bt2UZyTPVF7nczIju5hGv4tcezqGUqRbbGRY7bQG3WRY7BQ4jr8imzghchsihEiJ3IaI49NVGE+kf4WzvsgeGjyPjmGJxKlG+lmc5lyhzRSmX0iz9yk0FcJuyccfPURh+gXoRmCsiydOIXIbchrzRCrJdSwAwBetJds+C3+skSzbNGKGl4juJMsmI1XPINJmIYRIibRZCCFGnwSL05RmhOiN1BDVvfhiLQB4ovX0hPcSiHXgjtYB4I4eIqz30RXaTkjrIaL3oTDojcT7OfhjbTT7VxOv/EkF8EwmweI0Fdb70FUYuyUHXcXnilAYWEzpOCx55NlnEDV8RHUvaZZ8PNFG0q1F2MzZ+GNtxIz4JDcOSy5Tsq4CwBttHrP3I8aetFkIceaQNgsxNE+v/7jH7Nl0EIAXHlk3YJ8W04fM1zfIWh9Hq9kTr4m89cKO45ZBjH8SLE5zG5bvRSlF9c7GQfe/+vgmXn5sI421HWQMMvmM1WZJ2jb0/nkuXnhkHdFwjMd+t4JoROPRe18DIBqO8YcfLmPzqkpe/Md6tr5VjavLO3JvSowJy1133TXWZQC4a6wLcLo6sLsJs9nEuld2U1/djt1ho3BCTmK/x+UnrzCLeYsraG/qYfOqShZeEO978f1b/0I0rDH7qKn+TeZ4Tfb+u55n+9pqqrY1kJOfyZJL57DwghkYSmGzW7nw6vnMWlBOw4F2bvnKe8krGnodVHHS/PdwMksPztOcoRnMXjSFraur+diXrxqwf8H500nPdAAwb0kF7/3weYl9ZRVFlFYU8djvVzB19kQuff/ZiSn4vnrXh+nr8fHova/h6vbSWt9NKBDB7rAxdXZ8lOsTf1pJS1035dNLWHzJ7ESgEacmCRanOV03+MOPlhGLajz/8Fquu+1C0jMcif3pmQ4CvjAbV+xl2jsW7zGZTLz+7818856PJ+WB+O3IG89uY9GFMymfXkL59BJCwUjiuAd++SJZOem4urxsen0f3r4Am17fx4//8h+j/6bF6FBKjYcvMUqW3f9m4nVXW++gx6x4avOg6dvXViullAoGwkoppRprOpL2P/PAW0nbv/zqI4nXuqarZfe/qf7442VKKaW+dsP/nlC5xagY1ud0rIOEBItR9puvP5q0/a/7ViRtG7qhep3eQfPGYlrS9pffd0/i9RvPbVNK9QeUZx54S+maHj+nYSSO+6/PPvAuSy5GwbA+p9LPQogzh/SzEO9OOLoP3ehLSuvo+zGB8MD+Fsc8T2w/7sAyApFNiTTdkEelpxupWZyh2nu/RVnB7weke4LPkZtx87DO3drzRey2aZhM6aTZziIz7T2YTZnDOqcYEcOqWcjTkDOUzTo1aVupGN2ee8hwLMVQgaQPdzi6j1BsL5ruRKkoRTl3YjZl0Or6Erreh8WcT37Wp8lMuxSAwpw7CEa2UZj9JZQKYzLJSmOnA7kNOWMpYlprYstksjEh77/ITr+WHu+fk45Msy8kGmvAYs6lJPf7mE3xiXTTbIvIcFyIzVpOTO8/lzf4SuIYT3Dgiuzi1CQ1izOWwmYtT0rxBJ8DFCW5P0hKNwwfE/J+hFLJ40QMFcCEFbMpg0jsUCI9N/OjxLQmerx/RDfco/YOxMklweIME9Ua0A0PBVmfTUoPRXcn2iq6PfdgMjkozvkmUa0eq2UCYMFkslDfdR1FOV8nJ/0GrOZC8jI/jtmcjS/0WuJcabZ56LqTopyvo+ndJ/HdidEkDZxCnDmkgVOMrIDWgT/aQlH62UR1L+nW/lXTDaVhNiX/t6nqfQiLOY1m30oK0uZxXvGPTnaRxUkgDZxiAJspgyzbZCwmR1KgqOx9gFb/mwA0+14nosf7aLQF1pJnn8UFE+5iXv5nx6LI4iSQYCEGsJjTSLMWAiTm7wSwmOwUpy/BG22kO7QDhyUfgGz7VNyRWuzmbDqDm2nyrRiTcovRJW0WYgCFgS/ajD/WSlnme5L2gAlDxYgaPtIsBRhKo7rvEeYXfJEa9+N4o40sLfnJWBVdHJt09xYjpye8G5Qix15BWeZ7qPM8R0dwE0cCRUR3U+d9gXrP89R7X8BssqKpML5YM+7IIXQVoTWwZozfhRgNUrMQwxbVvdgtOcc/UIw1WZFMCJESuQ0RQow+CRZCiJRIsBBCpESChUjy1o6DGOOjHUuMMxIsRBKXN0hjey8HmmQAmEgmwUIkmViYTVuPh06XTIsnksmjU5HEUAqzSRYDOk3Jo1Mxcl5aX0lVQ+dYF0OMQxIsRBKXJ4jXH2bllpqxLooYZ+Q2RAxQ2+zEZjUzraxwrIsiRpbchoiRNbO8iPp211gXQ4wzMlOWSFLV0Ik3EGZ8VDjFeCI1C5Fk/rSJBMNRFs0sPf7B4owibRZCnDmkzUIIMfokWAghUiINnOKEuAJBAAozM3hhz35KsrPo9vq56ZyzxrhkYrRJzUKk7NXKGna1dPDy3gMARDWdNKt1mHfC4lQhNQuRxB3eRW94M4aK4LBMYHLObYl9dosFpRST8uLzbTb1ujlv6iTqe4yxKq44iaRmIZLoKkhE68YXraYz8DJRvSexL8th55p5M8l02HEHw3zvmkuZXlRAUVbmGJZYnCxSsxBJoroLh7WEqbmfRaET0lqxWQpZ1rSBW6a/h009B5gzaRIaUSCNtd2VXDRzDrv66tGUztKCWWP9FsQokWAhkhSmX4zdUoSuQhzqvY85hT/CFfExNasEEybybJkUOrIB6I36uaxkPpphkGaxYzNbxrj0YjRJsBBJnMG3mJB5HRHdiS+6H4BCRzaFjjkAnJU7OXFsgT0LAJvZwryc8pNfWHFSSQ9OIc4c0oNTjJwG99/HughinJJgIZIUpF+UeH2o7z4ietcYlkaMJ3IbIo6i6Amuw2Qyk22fj91SgDu8i7y0xWNdMDEyhnUbIg2c4igmijIuB6DZ+xgR3Ukw1iTBQgBSsxCDiOou7BaZUu80JKuoCyFSIk9DxMhq8f4LAF2FcIU2jHFpxHghwUIk6QtvJS/tPGJ6HxZTOt5I5VgXSYwTEixEEldoI9n2OQS1ZgKxBmT8uThC2ixEku7AKkoyrwHU4YbOorEukhg50mYhRk48UEBY66IntH6MSyPGE6lZiOOqrm7HajUTi+lkZjqYOrWInTsbWbKkYqyLJk6M1CzE6AqFouza2UQ4FGPH9gYikRgLFsgo0zON1CzEMSmlYzLJPBWnCenuLUZOi/dfpFnLAQObOQ+HtYR0q9QihNQsxBB6Q29TkH4RfeFt5KctHeviiJEhbRZi5OkqDEBIax3jkojxQmoWQpw5pGYhhBh9EiyEECkZL09DZACCEOOc1CyEECmRYCGESIkECyFESiRYCCFSIsFCCJESCRZCiJRIsBBCpESChRAiJRIshBApkWAhhEiJBAshREokWAghUiLBQgiREgkWQoiUSLAQQqREgoUQIiUSLIQQKZFgIYRIiQQLIURKJFgIIVIiwUIIkRIJFkKIlEiwEEKk5P8D82ivjpbMmacAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e74607d5f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e744c78ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "place=['A','B','C','D','E']\n",
    "for pla in place:    \n",
    "    f=open('../数据/任务3-2/task3-2'+pla+'.csv')\n",
    "    place_data=pd.read_csv(f)\n",
    "    counts1 = {}  #创建字典，保存标签1\n",
    "    counts2 = {}  #保存标签2\n",
    "    for i in range(place_data.shape[0]):\n",
    "        counts1[place_data['标签1'][i]] = counts1.get(place_data['标签1'][i],0) + place_data['销量'][i]\n",
    "        counts2[place_data['标签2'][i]] = counts2.get(place_data['标签2'][i],0) + place_data['销量'][i]\n",
    "    items1 = list(counts1.items())   #返回所有键值对\n",
    "    items2 = list(counts2.items())\n",
    "    items1.sort(key=lambda x:x[1], reverse =True) #排序\n",
    "    items2.sort(key=lambda x:x[1], reverse =True)\n",
    "    \n",
    "    wordlist=list()\n",
    "    for i in range(3):  #该类标签合并后只有24个，因此选取前3个词，代表了销量最好的几类商品\n",
    "        word,count = items1[i]  \n",
    "        wordlist.append(word) \n",
    "    for i in range(50):  #选取前50个词\n",
    "        word,count = items2[i]  \n",
    "        wordlist.append(word)    #把词语word放进一个列表\n",
    "\n",
    "    wl=' '.join(wordlist)\n",
    "\n",
    "    #图片遮罩层\n",
    "    mask_pic=np.array(Image.open('../图片/画像/遮罩图片/'+pla+'.jpg'))\n",
    "    wc = WordCloud(font_path=\"C:/Windows/Fonts/simfang.ttf\",\n",
    "                          background_color=\"white\",\n",
    "                          mask=mask_pic).generate(wl)\n",
    "    #显示图片\n",
    "    plt.imshow(wc)\n",
    "    plt.axis('off')        #关闭坐标\n",
    "    plt.show()\n",
    "    wc.to_file('../图片/画像/地区'+pla+'.png') #保存"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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